Do `kubectl get -o=yaml` on your resources with a bash one-liner. Upload either programmatically or manually. Mix in your changes or additional `kubectl` commands.
Understand what will happen if nodes get locked up, whether all the scaling will work, instantly know if the proposed change does not evict pods, break labels or starve resources.
Read the YAML report manually or programmatically to identify root cause of issues. Add more constraints to the cluster. Repeat.
See your current risk trends on a chart. Set alerts. Detect broken updates and stop the pipeline before failure happens. Get more insights automatically with every new update of CriticalHop kubernetes model.
CriticalHop is a less disruptive alternative to chaos engineering. CriticalHop replicates the current cluster environment in AI and provides autonomous checks and config validations without chaos in your test or in the production environment.
Rather than limiting developer changes, CriticalHop AI can test the effect of each change on the AI-replicated Kubernetes environment and help you maximize security and efficiency.
The complexity of home-grown validation tools in the microservices space has gone way beyond any human intellectual capacity. Our intelligent risk mitigation solution can keep every version/compatibility point in mind for everyone.
The production engineering team is usually assigned to after-the-fact outage analyses and debugging to design prohibitive policies all over the cluster that inevitably lead to slowing down the process and reducing the benefits of a new architecture.
Many companies with early-stage Kubernetes deployments have not yet adopted failure prevention strategies. Regardless of your stage, please do not hesitate to contact us so we can help you get started.
Protect your cluster from evictions, freezes, and failures to perform scaling due to missing constraints/nodes that have requested resources.
Protect your cluster from hitting resource limits. Including setting incorrect constraints. Our model of RAM/CPU resources covers all possible variations.
Protect your cluster from cron jobs with no/incorrect concurrency policies, combined with all of the eviction/freeze scenarios with the above.
Protect your cluster from idling pods on nodes with a history of consuming lots of RAM or when anti-affinity is not defined. We have a full model of restart policies and real resource consumption behaviors.
Protect your cluster from incorrectly typed labels for services. Your request destination is always safe.
"The capabilities of the AI planning in Enterprise is unmatched, and the guys at CriticalHop have proven that automation with commercial AI planning is unavoidable."
"This could be a "must-have" feature for every Kubernetes installation."
“CriticalHop can now automate Cloud policies, Kubernetes validation, and deploy features that are up to 10 times faster. Very impressed.”